No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by lijigang · Claude Skill · ★ 598
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ljg-skill-xray-paper safe to install? View the security audit →
ljg-skill-xray-paper 论文 X 光机 — 一个 Claude Code Skill，只做两件事：论文说了什么 + 对我意味着什么。 功能 支持 arxiv ID、URL、PDF 路径等多种输入（自动转 格式抓取全文） 零术语规则：承重概念必须场景化（3 级渐进），去掉技术名字仍能理解 一句话压缩：电梯里跟外行朋友说的那句大白话 + 餐巾纸图 认知碰撞卡片：ASCII art 直观展示论文洞见与个人认知的碰撞 多种碰撞形状：分叉、张力、阈值、缺口、翻转——选跟碰撞匹配的空间结构 诚实原则：delta ≈ 0 就说 0，不造空卡片 生成 Org-mode 格式报告（Denote 规范），自带模板 安装 使用 支持的输入格式： 输出示例 生成的 Org-mode 报告结构： 约束体系 L0 通用约束：Org-mode 语法、纯 ASCII art（禁 Unicode 绘图符号）、Denote 文件规范 L1 认知约束：认知基线加载（soul.md + memory.md）、诚实原则、卡片质量标准 设计原则 只有两个部分，不加别的 承重概念必须场景化，普通术语一句话类比即可 卡片标准：遮住文字只看线条，仍能感受到结构关系 推测性结论做成"开放问题"碰撞卡片，写尖锐的问题而非温和的 checkbox License MIT
| Stars | 598 |
| Forks | 42 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 55.3778616208845/100 |
| Open Issues | 2 |
| Last Updated | 2026-02-26 |
| Created | 2026-02-08 |
| Platforms | claude-code |
| Est. Tokens | ~2k |
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ljg-skill-xray-paper is 论文X光机 — Claude Code Skill，解构学术论文，提炼餐巾纸公式. It is categorized as a Claude Skill with 598 GitHub stars.
You can find installation instructions and usage details in the ljg-skill-xray-paper GitHub repository at github.com/lijigang/ljg-skill-xray-paper. The project has 598 stars and 42 forks, indicating an active community.
ljg-skill-xray-paper is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ljg-skill-xray-paper on Agent Skills Hub include claude-codex-settings, digital-marketing-pro, life-sciences. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: